A Review of Point Cloud Semantic Segmentation

Ripe with possibilities offered by deep-learning techniques and useful in applications related to remote sensing, computer vision, and robotics, 3D point cloud semantic segmentation (PCSS) and point cloud segmentation (PCS) are attracting increasing interest. This article summarizes available data sets and relevant studies on recent developments in PCSS and PCS.

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[56]  Matthias Nießner,et al.  ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[57]  Jie Shan,et al.  Segmentation and Reconstruction of Polyhedral Building Roofs From Aerial Lidar Point Clouds , 2010, IEEE Transactions on Geoscience and Remote Sensing.

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[59]  Bruno Vallet,et al.  TerraMobilita/IQmulus Urban Point Cloud Classification Benchmark , 2014 .

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[61]  Shu Liu,et al.  Associatively Segmenting Instances and Semantics in Point Clouds , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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[72]  Wei Wu,et al.  PointCNN: Convolution On X-Transformed Points , 2018, NeurIPS.

[73]  Jian Liang,et al.  Point Cloud Segmentation and Denoising via Constrained Nonlinear Least Squares Normal Estimates , 2013, Innovations for Shape Analysis, Models and Algorithms.

[74]  Tamy Boubekeur,et al.  A Survey of Simple Geometric Primitives Detection Methods for Captured 3D Data , 2018, Comput. Graph. Forum.

[75]  Bo Du,et al.  A Three-Step Approach for TLS Point Cloud Classification , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[76]  Xiao Xiang Zhu,et al.  SEGMENTATION AND CROWN PARAMETER EXTRACTION OF INDIVIDUAL TREES IN AN AIRBORNE TOMOSAR POINT CLOUD , 2015 .

[77]  Xianfeng Huang,et al.  A Methodology for Automated Segmentation and Reconstruction of Urban 3-D Buildings from ALS Point Clouds , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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[89]  Chi-Wing Fu,et al.  PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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[93]  Xiao Xiang Zhu,et al.  Automatic Feature-Based Geometric Fusion of Multiview TomoSAR Point Clouds in Urban Area , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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[100]  Jing Hua,et al.  A-CNN: Annularly Convolutional Neural Networks on Point Clouds , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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[129]  Xiao Xiang Zhu,et al.  From TomoSAR Point Clouds to Objects: Façade Reconstruction , 2012, 2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing (TyWRRS).

[130]  Amin Zheng,et al.  RGCNN: Regularized Graph CNN for Point Cloud Segmentation , 2018, ACM Multimedia.

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